AI Research & Development
Our lab publishes original research in artificial intelligence, machine learning, and applied sciences. Browse our publications below to learn about our ongoing work and findings.
Southern Illinois University School of Medicine, Department of Physiology
This study investigates the impact of dietary interventions on collagen deposition within the tumor microenvironment of ovarian cancer. Through examining the effects of flaxseed and vitamin D supplementation, we observed significant modifications to the extracellular matrix composition that may influence cancer progression.
This research evaluates how flaxseed and vitamin D supplementation affects collagen deposition in ovarian tissues, with potential implications for cancer prevention and treatment approaches.
This research poster complements the associated paper in the research on collagen deposition in ovarian tissues, and extracellular matrix effects and the implications for cancer prevention and treatment.
Our research team explores novel approaches to optimizing transformer models for specialized industry applications, reducing computational requirements while maintaining performance.
Project report for building, training, testing, and implementing a convolutional neural network system for digit classification, focusing on performance metrics and optimization techniques.
Case study examining the implementation of reinforcement learning algorithms to optimize production workflows, resulting in significant efficiency improvements and cost reduction.
Technical guidelines for implementing and maintaining neural network systems in production environments, with emphasis on reliability, security, and maintainability.